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Formation of Energy Features of the Image based on Wavelet Transform
In this paper the new approach of image analysis using energy characteristics of wavelet transform is proposed. We consider a model based on the wavelet transform, which makes it possible to form features characterizing the energy estimates of the image points and reflecting their significance. To f...
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Published in: | Journal of physics. Conference series 2019-04, Vol.1202 (1), p.12006 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | In this paper the new approach of image analysis using energy characteristics of wavelet transform is proposed. We consider a model based on the wavelet transform, which makes it possible to form features characterizing the energy estimates of the image points and reflecting their significance. To form a model of energy characteristics, a procedure is performed based on taking into account the dependencies between the wavelet coefficients of various levels. This approach based on image representation using of energy features models can be used for contours detection, salient points detection and texture features extraction. Energy features models can be used as the basis to detect and recognize the object in various systems of information processing and control, such as systems of unmanned aerial vehicle control, distant exploration of the Earth systems, access control systems for protected objects etc. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/1202/1/012006 |